Engineering & Technologyarticle2026-09-03

PRAPIXEL™ Version 1.0: Discrete Pixel-Based Surface Architecture for Programmable Mechanical Fields, Dynamic Load Redistribution, and Adaptive Human–Surface Interaction

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Abstract

PRAPIXEL™ Version 1.0 presents an open scientific and engineering framework for segmented adaptive surfaces composed of discrete mechanically controllable elements whose states can be independently addressed or coordinated to generate programmable spatiotemporal mechanical fields at body–surface interfaces. The architecture is application-independent and encompasses foot platforms, seating, mattresses, wearables, and other adaptive human–surface interfaces. The publication formalizes pixel-state and surface-state representations, spatial addressability, coordinated field generation, propagation, dynamic load redistribution, pressure–time exposure, mechanical dwell and non-stagnation, sensing, adaptive control, digital-twin concepts, engineering validation, safety constraints, testable hypotheses, and falsification criteria. Its central engineering proposition is: discrete addressable elements + coordinated control → programmable mechanical field. This record is released for independent evaluation, critique, replication, research, education, responsible development, and defensive prior-art disclosure. It expressly distinguishes engineering architecture and testable hypotheses from measured performance, biological response, safety, regulatory status, and clinical efficacy. No therapeutic, diagnostic, preventive, rehabilitation-efficacy, or clinical-performance claim is established. Patent basis: Segmented Adaptive Surface System and Method for Dynamic Control of Mechanical Interaction at a Body–Surface Interface via Discrete Pixel Elements; provisional application under 35 U.S.C. §111(b). 𝗔𝘂𝘁𝗵𝗼𝗿: Pavel Pushkin — Independent Inventor and Researcher 𝗢𝗥𝗖𝗜𝗗: https://orcid.org/0009-0006-4905-1249 𝗢𝗽𝗲𝗻-𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝘀𝘁𝗮𝘁𝘂𝘀: Scientific perspective and hypothesis-generating research disclosurePRAPIXEL™ Version 1.0 DOI: https://doi.org/10.5281/zenodo.22265395

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-09-03

Authors: Pavel Pushkin